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Why Apache Doris is the Best Open Source Alternative to Rockset
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Why Apache Doris is the Best Open Source Alternative to Rockset

Among of all the claim-to-be alternatives to Rockset, Apache Doris is one of the few that cover all the key features of Rockset.

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Steps to industry-leading query speed: evolution of the Apache Doris execution engine
Tech Sharing

Steps to industry-leading query speed: evolution of the Apache Doris execution engine

From the Volcano Model to the Pipeline Execution Engine, and now PipelineX, Apache Doris brings its computation efficiency to a higher level with each iteration.

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Another lifesaver for data engineers: Apache Doris Job Scheduler for task automation
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Another lifesaver for data engineers: Apache Doris Job Scheduler for task automation

The built-in Doris Job Scheduler triggers pre-defined operations efficiently and reliably. It is useful in many cases including ETL and data lake analytics.

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Apache Doris version 2.0.11 just released
Release Note

Apache Doris version 2.0.11 just released

Thanks to our community users and developers, about 123 improvements and bug fixes have been made in Doris 2.0.11 version.

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What is Apache Doris

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Core capabilities

Real-time ingestion and storage
Push-based micro-batch and pull-based streaming data ingestion within a second. Storage engine with real-time upsert, append and pre-aggregation.
Lightning-fast query
Optimize for high-concurrency and high-throughput queries with columnar storage engine, MPP architecture, cost based query optimizer, vectorized execution engine.
Federated querying
Federated querying of data lakes such as Hive, Iceberg and Hudi, and databases such as MySQL and PostgreSQL.
Semi-structured data
Compound data types such as Array, Map and JSON. Variant data type to support auto data type inference of JSON data. NGram bloomfilter and inverted index for text searches.
Elastic architecture
Distributed design for linear scalability. Workload isolation and tiered storage for efficient resource management. Supports shared-nothing clusters as well as separation of storage and compute.
Open ecosystem
Compatible with MySQL protocol and ANSI SQL, easily integrated with BI tools. Provide open data API to be accessible for external compute engines like Spark, Flink and ML/AI.

Unified data warehouse

for various analytics use cases

From traditional batch reporting to real-time reporting and dashboards. From internal-facing analytics like traditional BI to customer-facing analytics. From decision support analytics to algorithm-driven real-time decision-making.
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